Triple
T45718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chilean peso |
E895
|
entity |
| Predicate | hasCurrencySignPlacement |
P2875
|
FINISHED |
| Object | before amount in common usage in Chile |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: before amount in common usage in Chile | Statement: [Chilean peso, hasCurrencySignPlacement, before amount in common usage in Chile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCurrencySignPlacement Context triple: [Chilean peso, hasCurrencySignPlacement, before amount in common usage in Chile]
-
A.
usesCurrency
Indicates that one entity conducts its financial transactions or values using the monetary unit represented by the other entity.
-
B.
definedMonetarySystem
Indicates that an authority or entity has established and specified the rules, structure, and characteristics of a particular monetary system.
-
C.
currency
Indicates that one entity serves as the medium of exchange or monetary unit used by another entity (such as a country, region, or system).
-
D.
coinDenominationsInclude
Indicates that a set of coin denominations contains a particular denomination as one of its members.
-
E.
languageOnBanknotes
Indicates the language that is printed or used on a country's banknotes.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24ba7016481909d595402712db6e2 |
completed | Feb. 28, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69a24abbd32c81908cec461d9097662e |
completed | Feb. 28, 2026, 1:54 a.m. |
| PDg | Predicate description generation | batch_69a24ba5da048190a484963cb5a9bb2b |
completed | Feb. 28, 2026, 1:57 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.